AI-Travel-Planner — tool profile and history

Our planner has context sharing,in process MCP tool integration,structured output using pydantic(md,json), Task monitoring & Logging using callback functions, A2A protocol and used interoperability - e.g. one agent defined using ADK another using CrewAI.

Dormant

Canonical source ↗

Language
Python
License
MIT
Created
Last activity
Topics
  • a2a-protocol
  • adk
  • agentic-ai
  • agentic-framework
  • callback-functions
  • context-sharing
  • crewai
  • generative-ai-agents
  • interoperability
  • json
  • markdown
  • mcp
  • monitoring-logs
  • pydantic
  • structured-output

Current measurement

0GitHub starsstable
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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Classifications

Domains
Type
Agents
Use cases
  • No declared use case

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.